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Found 4 papers, 3 papers with code
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
The ability to have the same experience for different user groups (i. e., accessibility) is one of the most important characteristics of Web-based systems.
Ranked #1 on
Knowledge Base Question Answering
on QALD-9-Plus
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust.
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features
In our work, we address the research problem of how the QA quality of a given system can be improved just by evaluating the natural-language input (i. e., the user's question) and output (i. e., the system's answer).
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system
The subject area of our system is very specific, that is why there is a lack of training data.
